• Overview
  • Obesity prevalence
  • Trends over time
  • Population breakdowns
  • Drivers
  • Comorbidities
  • Economic impact
  • Policies
  • Contextual factors
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National obesity risk *7/10This is a composite ‘obesity risk’ score (out of 10, the highest risk) based on obesity prevalence, rate of increase, likelihood of meeting the 2025 target, treatment indicator and childhood stunting levels.Childhood obesity risk *4.5/11This is a ‘risk score’ for each country’s likelihood of having or acquiring a major childhood obesity problem during the 2020s, taking account of current prevalence levels and risk for future obesity (based on stunting among infants, maternal obesity, maternal smoking, and breastfeeding rates).
* Based on estimated data. For more information see Publications

Obesity prevalence

Trends over time

Report cards

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Report card (adult data)

Report card (child data)

Report card (under-5s data)

Population breakdowns

By education

By age

By region

By socio-economic group

Double Burden

Drivers

Insufficient activity

Fruit consumption

Processed meat consumption

Grains consumption

Depression

Anxiety

Roots of obesity »

Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.

Breastfeeding

Unaffordable diet

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Comorbidities

Oesophageal cancer

Breast cancer

Colorectal cancer

Pancreatic cancer

Gallbladder cancer

Kidney cancer

Cancer of the uterus

Raised blood pressure

Raised cholesterol

Raised fasting blood glucose

Diabetes prevalence

Ovarian Cancer

Leukemia

Liver & bile duct cancer

Mulitple Myeloma

Non Hodgkin Lymphoma

Thyroid Cancer

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Economic impact

Economic impact

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Policies

Nutritional or Health Strategy

Tax/Subsidies on Food or Beverages

NCD Strategy

Breastfeeding

Obesity Target

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Contextual factors

Contextual factors

Obesity prevalence

Women, 2018

Survey type:Measured
Age:15-49
Sample size:6088
Area covered:National
References:Deomgraphic Health Survey, Cameroon, 2018 (in french)
Notes:Includes ever married women age 15-49 years
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
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Women, 2011

Survey type:Measured
Age:15-49
Sample size:6980
References:Institut National de la Statistique (INS) et ICF. International. 2012. Enquête Démographique et de Santé et à Indicateurs Multiples du Cameroun 2011. Calverton, Maryland, USA : INS et ICF International.
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
Download graph Add to chartbuilder Add to custom PDF

Women, 2009

Survey type:Measured
Age:15-49
Sample size:704
Area covered:National
References:Engle-Stone R, Nankap, M Ndjebayi, AO, Friedman A, Tarini A, Brown KH, Kaiser L. 2018. Prevalence and predictors of overweight and obesity among Cameroonian women in a national survey and relationships with waist circumference and inflammation in Yaoundé and Douala. Maternal and child nutrition. 14(4) doi: https://doi.org/10.1111/mcn.12648
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
Download graph Add to chartbuilder Add to custom PDF

Women, 2004

Survey type:Measured
Age:15-49
Sample size:4491
Area covered:National
References:National Institute of Statistics - INS/Cameroon and ORC Macro. 2005. Cameroon Demographic and Health Survey 2004. Calverton, Maryland, USA: INS/Cameroun and ORC Macro.
Notes:Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
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Adults, 2003

Survey type:Measured
Age:15+
Sample size:9454
Area covered:Regional
References:Kamadjeu RM, Edwards R, Atanga JS, Kiawi EC, Unwin N and Mbanya JC. (2006). Anthropometry measures and prevalence of obesity in the urban adult population of Cameroon: an update from the Cameroon Burden of Diabetes Baseline Survey. BMC Public Health, 6: 288 - 395.
Notes:4 urban districts = Yaoundé, Douala, Garoua and Bamenda
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
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Women, 1998

Survey type:Measured
Age:15-49
Sample size:1658
References:SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
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Children, 2013

Survey type:Measured
Age:3-13
Sample size:1343
Area covered:Regional
References:Choukem S-P, Kamdeu-Chedeu J, Leary SD, et al. Overweight and obesity in children aged 3–13 years in urban Cameroon: a cross-sectional study of prevalence and association with socio-economic status. BMC obesity. 2017;4:7. doi:10.1186/s40608-017-0146-4.
Notes:Urban only with a focus on socioeconomic groups, see paper for survey design
Cutoffs:IOTF
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Girls, 2011

Survey type:Measured
Age:15-19
Sample size:1413
Area covered:National
References:Benedict, Rukundo K., Allison Schmale, and Sorrel Namaste. 2018. Adolescent Nutrition 2000-2017: DHS Data on Adolescents Age 15-19. DHS Comparative Report No. 47. Rockville, Maryland, USA: ICF. Institut National de la Statistique (INS) et ICF. International. 2012. Enquête Démographique et de Santé et à Indicateurs Multiples du Cameroun 2011. Calverton, Maryland, USA : INS et ICF International.
Definitions:BMI for age: between +1 SD and +2 SD is overweight and greater than +2 SD is obesity
Cutoffs:WHO 2007
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0-5 years, 2018-2019

Age:0-5
Sample size:5268
References:DHS: Enquête Démographique et de Santé du Cameroun 2018. Yaoundé, Cameroun et Rockville, Maryland, USA : INS et ICF. 2020
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population.
Definitions:=>+2SD
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0-5 years, 2014

Age:0-5
Sample size:6737
References:MICS: Enquête par grappes à indicateurs multiples (MICS5), 2014, Rapport Final. Yaoundé, Cameroun, Institut National de la Statistique
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population.
Definitions:=>+2SD
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0-5 years, 2011

Age:0-5
Sample size:6033
References:DHS: Enquête démographique et de santé et à indicateurs multiples du Cameroun 2011. Demographic and Health Surveys and MICS. Calverton, Maryland, USA : INS et ICF International, 2012
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population.
Definitions:=>+2SD
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0-5 years, 2006

Age:0-5
Sample size:5933
References:MICS: Cameroun: Suivi de la situation des enfants et des femmes. Enquête par grappee à indicateurs multiples 2006. Rapport principal. Yaoundé, Cameroun: Institut National de la Statistique et UNICEF, 2008
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population.
Definitions:=>+2SD
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0-5 years, 2004

Age:0-5
Sample size:3874
References:DHS: Enquête démographique et de santé du Cameroun 2004. Demographic and Health Surveys. Calverton, Maryland, USA: INS et ORC Macro, 2004
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population.
Definitions:=>+2SD
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0-5 years, 1998

Age:0-5
Sample size:1977
References:DHS: Enquete démographique et de santé, Cameroun 1998. Demographic and Health Surveys. Calverton, Maryland, U.S.A. : Bureau Central des Recensements et des Études de Population et Macro International Inc., 1999
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population.
Definitions:=>+2SD
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0-5 years, 1991

Age:0-5
Sample size:2810
References:DHS: Enquête démographique et de santé Cameroun, 1991. Demographic and Health Surveys. Yaoundé, République du Cameroun, 1992
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population.
Definitions:=>+2SD
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Overweight/obesity by education

Women, 2018

Survey type:Measured
Age:15-49
Sample size:6088
References:Institut National de la Statistique (INS) et ICF. 2020. Enquête Démographique et de Santé du Cameroun 2018. Yaoundé, Cameroun et Rockville, Maryland, USA : INS et ICF.
Notes:Ever married women aged 15-49 years
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
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Women, 2011

Survey type:Measured
Age:15-49
Sample size:6980
References:Institut National de la Statistique (INS) et ICF. International. 2012. Enquête Démographique et de Santé et à Indicateurs Multiples du Cameroun 2011. Calverton, Maryland, USA : INS et ICF International.
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
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Girls, 2011

Survey type:Measured
Age:15-19
Sample size:1418
Area covered:National
References:Benedict, Rukundo K., Allison Schmale, and Sorrel Namaste. 2018. Adolescent Nutrition 2000-2017: DHS Data on Adolescents Age 15-19. DHS Comparative Report No. 47. Rockville, Maryland, USA: ICF. Institut National de la Statistique (INS) et ICF. International. 2012. Enquête Démographique et de Santé et à Indicateurs Multiples du Cameroun 2011. Calverton, Maryland, USA : INS et ICF International.
Definitions:BMI for age: between +1 SD and +2 SD is overweight and greater than +2 SD is obesity
Cutoffs:WHO 2007
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0-5 years, 2018-2019

Sample size:5268
References:DHS: Enquête Démographique et de Santé du Cameroun 2018. Yaoundé, Cameroun et Rockville, Maryland, USA : INS et ICF. 2020
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population.
Definitions:=>+2SD
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0-5 years, 2014

Sample size:6737
References:MICS: Enquête par grappes à indicateurs multiples (MICS5), 2014, Rapport Final. Yaoundé, Cameroun, Institut National de la Statistique
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population.
Definitions:=>+2SD
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0-5 years, 2011

Sample size:6033
References:DHS: Enquête démographique et de santé et à indicateurs multiples du Cameroun 2011. Demographic and Health Surveys and MICS. Calverton, Maryland, USA : INS et ICF International, 2012
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population.
Definitions:=>+2SD
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0-5 years, 2006

Sample size:5933
References:MICS: Cameroun: Suivi de la situation des enfants et des femmes. Enquête par grappee à indicateurs multiples 2006. Rapport principal. Yaoundé, Cameroun: Institut National de la Statistique et UNICEF, 2008
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population.
Definitions:=>+2SD
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0-5 years, 2004

Sample size:3874
References:DHS: Enquête démographique et de santé du Cameroun 2004. Demographic and Health Surveys. Calverton, Maryland, USA: INS et ORC Macro, 2004
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population.
Definitions:=>+2SD
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0-5 years, 1998

Sample size:1977
References:DHS: Enquete démographique et de santé, Cameroun 1998. Demographic and Health Surveys. Calverton, Maryland, U.S.A. : Bureau Central des Recensements et des Études de Population et Macro International Inc., 1999
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population.
Definitions:=>+2SD
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0-5 years, 1991

Sample size:2810
References:DHS: Enquête démographique et de santé Cameroun, 1991. Demographic and Health Surveys. Yaoundé, République du Cameroun, 1992
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population.
Definitions:=>+2SD
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Overweight/obesity by age

Women, 2018

Survey type:Measured
Sample size:6088
References:Institut National de la Statistique (INS) et ICF. 2020. Enquête Démographique et de Santé du Cameroun 2018. Yaoundé, Cameroun et Rockville, Maryland, USA : INS et ICF.
Notes:Ever married women aged 15-49 years
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
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Women, 2011

Survey type:Measured
Sample size:6980
References:Institut National de la Statistique (INS) et ICF. International. 2012. Enquête Démographique et de Santé et à Indicateurs Multiples du Cameroun 2011. Calverton, Maryland, USA : INS et ICF International.
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
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Children, 2013

Survey type:Measured
Sample size:1343
Area covered:Subnational
References:Choukem et al. 2017. Overweight and obesity in children aged 3-13 years in urban Cameroon: a cross-sectional study of prevalence and association with socio-economic status. BMC Obes. 4(7). doi: 10.1186/s40608-017-0146-4.
Notes:WHO cut-offs used
Cutoffs:WHO
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Overweight/obesity by region

Women, 2018

Survey type:Measured
Age:15-49
Sample size:6088
References:Institut National de la Statistique (INS) et ICF. 2020. Enquête Démographique et de Santé du Cameroun 2018. Yaoundé, Cameroun et Rockville, Maryland, USA : INS et ICF.
Notes:Ever married women aged 15-49 years
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
Download graph Add to custom PDF

Women, 2011

Survey type:Measured
Age:15-49
Sample size:6980
References:Institut National de la Statistique (INS) et ICF. International. 2012. Enquête Démographique et de Santé et à Indicateurs Multiples du Cameroun 2011. Calverton, Maryland, USA : INS et ICF International.
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
Download graph Add to custom PDF

Women, 2009

Survey type:Measured
Age:15-49
Sample size:504
Area covered:National
References:Engle-Stone R, Nankap, M Ndjebayi, AO, Friedman A, Tarini A, Brown KH, Kaiser L. 2018. Prevalence and predictors of overweight and obesity among Cameroonian women in a national survey and relationships with waist circumference and inflammation in Yaoundé and Douala. Maternal and child nutrition. 14(4) doi: https://doi.org/10.1111/mcn.12648
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
Download graph Add to custom PDF

Girls, 2011

Survey type:Measured
Age:15-19
Sample size:1413
Area covered:National
References:Benedict, Rukundo K., Allison Schmale, and Sorrel Namaste. 2018. Adolescent Nutrition 2000-2017: DHS Data on Adolescents Age 15-19. DHS Comparative Report No. 47. Rockville, Maryland, USA: ICF. Institut National de la Statistique (INS) et ICF. International. 2012. Enquête Démographique et de Santé et à Indicateurs Multiples du Cameroun 2011. Calverton, Maryland, USA : INS et ICF International.
Definitions:BMI for age: between +1 SD and +2 SD is overweight and greater than +2 SD is obesity
Cutoffs:WHO 2007
Download graph Add to custom PDF

0-5 years, 2018-2019

Sample size:5268
References:DHS: Enquête Démographique et de Santé du Cameroun 2018. Yaoundé, Cameroun et Rockville, Maryland, USA : INS et ICF. 2020
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population.
Definitions:=>+2SD
Download graph Add to custom PDF

0-5 years, 2014

Sample size:6737
References:MICS: Enquête par grappes à indicateurs multiples (MICS5), 2014, Rapport Final. Yaoundé, Cameroun, Institut National de la Statistique
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population.
Definitions:=>+2SD
Download graph Add to custom PDF

0-5 years, 2011

Sample size:6033
References:DHS: Enquête démographique et de santé et à indicateurs multiples du Cameroun 2011. Demographic and Health Surveys and MICS. Calverton, Maryland, USA : INS et ICF International, 2012
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population.
Definitions:=>+2SD
Download graph Add to custom PDF

0-5 years, 2006

Sample size:5933
References:MICS: Cameroun: Suivi de la situation des enfants et des femmes. Enquête par grappee à indicateurs multiples 2006. Rapport principal. Yaoundé, Cameroun: Institut National de la Statistique et UNICEF, 2008
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population.
Definitions:=>+2SD
Download graph Add to custom PDF

0-5 years, 2004

Sample size:3874
References:DHS: Enquête démographique et de santé du Cameroun 2004. Demographic and Health Surveys. Calverton, Maryland, USA: INS et ORC Macro, 2004
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population.
Definitions:=>+2SD
Download graph Add to custom PDF

0-5 years, 1998

Sample size:1977
References:DHS: Enquete démographique et de santé, Cameroun 1998. Demographic and Health Surveys. Calverton, Maryland, U.S.A. : Bureau Central des Recensements et des Études de Population et Macro International Inc., 1999
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population.
Definitions:=>+2SD
Download graph Add to custom PDF

0-5 years, 1991

Sample size:2810
References:DHS: Enquête démographique et de santé Cameroun, 1991. Demographic and Health Surveys. Yaoundé, République du Cameroun, 1992
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population.
Definitions:=>+2SD
Download graph Add to custom PDF

Overweight/obesity by socio-economic group

Women, 2018

Survey type:Measured
Age:15-49
Sample size:6088
References:Institut National de la Statistique (INS) et ICF. 2020. Enquête Démographique et de Santé du Cameroun 2018. Yaoundé, Cameroun et Rockville, Maryland, USA : INS et ICF.
Notes:Ever married women aged 15-49 years
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
Download graph Add to custom PDF

Women, 2011

Survey type:Measured
Age:15-49
Sample size:6980
References:Institut National de la Statistique (INS) et ICF. International. 2012. Enquête Démographique et de Santé et à Indicateurs Multiples du Cameroun 2011. Calverton, Maryland, USA : INS et ICF International.
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
Download graph Add to custom PDF

Children, 2013

Survey type:Measured
Age:3-13
Sample size:1343
Area covered:Urban only
References:Choukem S-P, Kamdeu-Chedeu J, Leary SD, et al. Overweight and obesity in children aged 3–13 years in urban Cameroon: a cross-sectional study of prevalence and association with socio-economic status. BMC obesity. 2017;4:7. doi:10.1186/s40608-017-0146-4.
Notes:Urban only HSES/LSES High/Low Socio Economic Status
Cutoffs:Other
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0-5 years, 2018-2019

Sample size:5268
References:DHS: Enquête Démographique et de Santé du Cameroun 2018. Yaoundé, Cameroun et Rockville, Maryland, USA : INS et ICF. 2020
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population.
Definitions:=>+2SD
Download graph Add to custom PDF

0-5 years, 2014

Sample size:6737
References:MICS: Enquête par grappes à indicateurs multiples (MICS5), 2014, Rapport Final. Yaoundé, Cameroun, Institut National de la Statistique
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population.
Definitions:=>+2SD
Download graph Add to custom PDF

0-5 years, 2011

Sample size:6033
References:DHS: Enquête démographique et de santé et à indicateurs multiples du Cameroun 2011. Demographic and Health Surveys and MICS. Calverton, Maryland, USA : INS et ICF International, 2012
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population.
Definitions:=>+2SD
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0-5 years, 2006

Sample size:5933
References:MICS: Cameroun: Suivi de la situation des enfants et des femmes. Enquête par grappee à indicateurs multiples 2006. Rapport principal. Yaoundé, Cameroun: Institut National de la Statistique et UNICEF, 2008
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population.
Definitions:=>+2SD
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0-5 years, 2004

Sample size:3874
References:DHS: Enquête démographique et de santé du Cameroun 2004. Demographic and Health Surveys. Calverton, Maryland, USA: INS et ORC Macro, 2004
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population.
Definitions:=>+2SD
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0-5 years, 1998

Sample size:1977
References:DHS: Enquete démographique et de santé, Cameroun 1998. Demographic and Health Surveys. Calverton, Maryland, U.S.A. : Bureau Central des Recensements et des Études de Population et Macro International Inc., 1999
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population.
Definitions:=>+2SD
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0-5 years, 1991

Sample size:2810
References:DHS: Enquête démographique et de santé Cameroun, 1991. Demographic and Health Surveys. Yaoundé, République du Cameroun, 1992
Notes:UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population.
Definitions:=>+2SD
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Double burden of underweight & overweight

Adults, 2022

Survey type:Measured
Age:20+
References:NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2.
Notes:Age Standardised estimates
Definitions:Combined prevalence of BMI<18.5 kg/m² and BMI>=30 kg/m² (double burden of underweight and obesity)
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Children, 2022

Survey type:Measured
Age:5-19
References:NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2.
Notes:Age standardised estimates
Definitions:Combined prevalence of BMI < -2SD and BMI > 2SD (double burden of thinness and obesity)
Cutoffs:BMI < -2SD and BMI > 2SD
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0-5 years, 2018-2019

Survey type:Measured
Age:0-5
References:UNICEF data available at https://data.unicef.org/topic/nutrition/malnutrition/(last accessed 12.03.25)
Notes:Children under 5 falling below -2 standard deviations from the median height for age and falling at or above +2 standard deviations from the median weight-for-height of the reference population
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Insufficient physical activity

Adults, 2022

Survey type:Self-reported
Age:18+
Area covered:National
References:WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-)
Definitions:Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent.
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Men, 2022

Survey type:Self-reported
Age:18+
Area covered:National
References:WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-)
Definitions:Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent.
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Women, 2022

Survey type:Self-reported
Age:18+
Area covered:National
References:WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-)
Definitions:Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent.
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Adults, 2016

References:Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7
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Men, 2016

References:Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7
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Women, 2016

References:Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7
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Estimated per capita fruit intake

Adults, 2017

Survey type:Measured
Age:25+
References:Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/
Definitions:Estimated per-capita fruit intake (g/day)
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Estimated per-capita processed meat intake

Adults, 2017

Survey type:Measured
Age:25+
References:Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/
Definitions:Estimated per-capita processed meat intake (g per day)
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Estimated per capita whole grains intake

Adults, 2017

Survey type:Measured
Age:25+
References:Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/
Definitions:Estimated per-capita whole grains intake (g/day)
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Mental health - depression disorders

Adults, 2021

Age:20+
Area covered:National
References:Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25)
Definitions:Number living with depression per 100,000 population (adults 20+ years)
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Men, 2021

Age:20+
Area covered:National
References:Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25)
Definitions:Number living with depression per 100,000 population (adults 20+ years)
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Women, 2021

Age:20+
Area covered:National
References:Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25)
Definitions:Number living with depression per 100,000 population (adults 20+ years)
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Adults, 2015-2021

References:Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO.
Definitions:% of population with depression disorders
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Adults, 2015-2021

References:Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO.
Definitions:% of population with depression disorders
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Men, 2015-2021

References:Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO.
Definitions:% of population with depression disorders
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Women, 2015-2021

References:Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO.
Definitions:% of population with depression disorders
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Children, 2021

Area covered:National
References:Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25)
Definitions:Number living with depressive disorder per 100,000 population (Under 20 years of age)
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Boys, 2021

Area covered:National
References:Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25)
Definitions:Number living with depressive disorder per 100,000 population (Under 20 years of age)
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Girls, 2021

Area covered:National
References:Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25)
Definitions:Number living with depressive disorder per 100,000 population (Under 20 years of age)
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Mental health - anxiety disorders

Adults, 2021

Age:20+
References:Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25).
Definitions:Number living with anxiety per 100,000 population
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Men, 2021

Age:20+
References:Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25).
Definitions:Number living with anxiety per 100,000 population
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Women, 2021

Age:20+
References:Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25).
Definitions:Number living with anxiety per 100,000 population
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Adults, 2015-2021

References:Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO.
Definitions:% of population with anxiety disorders
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Adults, 2015-2021

References:Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO.
Definitions:% of population with anxiety disorders
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Men, 2015-2021

References:Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO.
Definitions:% of population with anxiety disorders
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Women, 2015-2021

References:Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO.
Definitions:% of population with anxiety disorders
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Children, 2021

References:Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25)
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Boys, 2021

References:Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25)
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Girls, 2021

References:Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25)
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% Infants exclusively breastfed 0-5 months

0-5 years, 2010-2024

References:Enquête Démographique et de Santé du Cameroun 2018. Yaoundé, Cameroun et Rockville, Maryland, USA : INS et ICF. 2020
Notes:Full details are available. Original citation United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2023). Global UNICEF Global Databases: Infant and Young Child Feeding: Exclusive breastfeeding, New York, October 2023.
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Percent of population who cannot afford a healthy diet

Adults, 2022

Area covered:National
References:The Food Systems Dashboard. The Global Alliance for Improved Nutrition (GAIN), The Columbia Climate School, and Cornell University College of Agriculture and Life Sciences. 2024. Geneva, Switzerland. https://www.foodsystemsdashboard.org. DOI: https://doi.org/10.36072/db.
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Oesophageal cancer

Men, 2022

Age:20+
Area covered:National
References:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Definitions:Indicence per 100,000
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Women, 2022

Age:20+
Area covered:National
References:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Definitions:Indicence per 100,000
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Men, 2020-2022

Age:20+
Area covered:National
References:Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2079
Definitions:Age-standardized indicence rates per 100 000
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Women, 2020-2022

Age:20+
Area covered:National
References:Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2079
Definitions:Age-standardized indicence rates per 100 000
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Breast cancer

Women, 2022

Area covered:National
References:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Definitions:Incidence per 100,000
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Colorectal cancer

Men, 2022

Age:20+
Area covered:National
References:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Definitions:Incidence per 100,000
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Women, 2022

Age:20+
Area covered:National
References:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Definitions:Incidence per 100,000
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Men, 2020-2022

Age:20+
Area covered:National
References:Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2079
Definitions:Age-standardized indicence rates per 100 000
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Women, 2020-2022

Age:20+
Area covered:National
References:Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2079
Definitions:Age-standardized indicence rates per 100 000
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Pancreatic cancer

Men, 2022

Age:20+
Area covered:National
References:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Definitions:Incidence per 100,000
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Women, 2022

Age:20+
Area covered:National
References:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Definitions:Incidence per 100,000
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Men, 2020-2022

Age:20+
Area covered:National
References:Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2079
Definitions:Age-standardized indicence rates per 100 000
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Women, 2020-2022

Age:20+
Area covered:National
References:Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2079
Definitions:Age-standardized indicence rates per 100 000
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Gallbladder cancer

Men, 2022

Age:20+
Area covered:National
References:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Definitions:Indicence per 100,000
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Women, 2022

Age:20+
Area covered:National
References:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Definitions:Indicence per 100,000
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Men, 2020-2022

Age:20+
Area covered:National
References:Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2079
Definitions:Age-standardized indicence rates per 100 000
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Women, 2020-2022

Age:20+
Area covered:National
References:Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2079
Definitions:Age-standardized indicence rates per 100 000
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Kidney cancer

Men, 2022

Age:20+
Area covered:National
References:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Definitions:Incidence per 100,000
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Women, 2022

Age:20+
Area covered:National
References:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Definitions:Incidence per 100,000
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Men, 2020-2022

Age:20+
Area covered:National
References:Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2079
Definitions:Age-standardized indicence rates per 100 000
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Women, 2020-2022

Age:20+
Area covered:National
References:Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2079
Definitions:Age-standardized indicence rates per 100 000
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Cancer of the uterus

Women, 2022

Age:20+
References:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Definitions:Incidence per 100,000
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Women, 2020-2022

Age:20+
Area covered:National
References:Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2079
Definitions:Age-standardized indicence rates per 100 000
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Raised blood pressure

Adults, 2015

References:Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en
Definitions:Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90).
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Men, 2015

References:Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en
Definitions:Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90).
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Women, 2015

References:Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en
Definitions:Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90).
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Raised cholesterol

Adults, 2008

References:Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885
Definitions:% Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate).
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Men, 2008

References:Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885
Definitions:% Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate).
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Women, 2008

References:Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885
Definitions:% Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate).
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Raised fasting blood glucose

Men, 2014

References:Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en
Definitions:Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication).
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Women, 2014

References:Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en
Definitions:Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication).
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Diabetes prevalence

Adults, 2024

References:Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 11th edn. Brussels, Belgium:International Diabetes Federation, 2025. http://www.diabetesatlas.org
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Adults, 2021

Age:20-79
Area covered:National
References:Reproduced with kind permission International Diabetes Federation.  IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org
Definitions:Age-adjusted comparative prevalence of diabetes, %
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Adults, 2019

Age:20-79
References:Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org
Definitions:Diabetes age-adjusted comparative prevalence (%).
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Adults, 2017

References:Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org
Definitions:Diabetes age-adjusted comparative prevalence (%).
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Ovarian Cancer

Women, 2022

Age:20+
References:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Definitions:Incidence per 100,000
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Leukemia

Men, 2022

Age:20+
Area covered:National
References:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Definitions:Incidence per 100,000
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
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Women, 2022

Age:20+
Area covered:National
References:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Definitions:Incidence per 100,000
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
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Leukemia

Men, 2022

Age:20+
Area covered:National
References:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Definitions:Incidence per 100,000
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
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Women, 2022

Age:20+
Area covered:National
References:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Definitions:Incidence per 100,000
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
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Liver and intrahepatic bile duct Cancer

Men, 2022

Age:20+
Area covered:National
References:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Definitions:Incidence per 100,000
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Women, 2022

Age:20+
Area covered:National
References:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Definitions:Incidence per 100,000
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Multiple Myeloma

Men, 2022

Age:20+
Area covered:National
References:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Definitions:Indicence per 100,000
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
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Women, 2022

Age:20+
Area covered:National
References:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Definitions:Indicence per 100,000
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
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Non Hodgkin Lymphoma

Men, 2022

Age:20+
Area covered:National
References:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Definitions:Incidence per 100,000
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
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Women, 2022

Age:20+
Area covered:National
References:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Definitions:Incidence per 100,000
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
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Thyroid Cancer

Men, 2022

Age:20+
Area covered:National
References:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Definitions:Incidence per 100,000
Download graph Add to custom PDF

Women, 2022

Age:20+
Area covered:National
References:Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24]
Definitions:Incidence per 100,000
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Economic impact of overweight and obesity

Country comparisons

You can choose to compare this country’s data with the data for up to four other countries.

Policies, Interventions and Actions

Tax on carbonated beverages

Excise tax on domestic carbonated beverages and all imported non-alcoholic beverages. The tax is 25% on carbonated beverages under HS 2201 and 2202, with an additional 2.5 CFA francs per centilitre excise duty on imported non-alcoholic beverages.

Categories:Taxation/Subsidies on Food or Beverages or law relating to public health
Year(s):2019 (ongoing)
Target age group:Adults and children
Organisation:Government
Linked document:Download linked document

NCD Country Profiles 2018 (Obesity Targets)

The profiles also provide data on the key metabolic risk factors, namely raised blood pressure, raised blood glucose and obesity and National Targets on Obesity (as of 2017)

Categories:Evidence of Obesity Target
Year(s):2017 (ongoing)
Target age group:Adults and children
Organisation:World Health Organisation
References:Noncommunicable diseases country profiles 2018. Geneva: World Health Organization; 2018. Licence: CC BY-NC-SA 3.0 IGO.

Health Sector Strategy 2016- 2027

This new strategy aligns with the Growth and Employment Strategy Paper (GESP) and with the Sustainable Development Goals (SDGs). The evaluation process of the expired 2001-2015 strategy and the development of the new strategy were participatory.

Categories (partial):Evidence of Nutritional or Health Strategy/ Guidelines/Policy/Action plan
Evidence of NCD strategy
Year(s):2016-2027
Target age group:Adults and children
Organisation:Ministry of Public Health Cameroon
Find out more:www.minsante.cm
Linked document:Download linked document
References:Health Sector Strategy 2016 - 2027 | MINSANTE [Internet]. Minsante.cm. 2016c [cited 2020 Jul 21]. Available from: https://www.minsante.cm/site/?q=en/content/health-sector-strategy-2016-2027-0 ‌

National Health Development Plan

2016-2020 NHDP focuses primarily on the strengthening of the health system and governance; maternal, newborn, and child health; management of medical and surgical emergencies and public health events; and disease prevention.

Categories:Evidence of NCD strategy
Year(s):2016-2020
Target age group:Adults and children
Organisation:Ministry of Public Health Cameroon
Find out more:www.minsante.cm
Linked document:Download linked document
References:National Health Development Plan [Internet]. 2016c. Available from: https://www.minsante.cm/site/sites/default/files/National%20Health%20Development%20Plan%202016-2020.Cameroon..pdf ‌

Politique nationale d'Alimentation et de Nutrition

One of the objectives is to combat overnutrition and dietary and lifestyle diseases. Strategies include: - Promotion of healthy behaviours and lifestyles, including among children under 18 years of age - Screening and comprehensive management of noncommunicable diseases in health facilities and at the community level - Surveillance of diet and lifestyle-related diseases (Available only in French language)

Categories:Evidence of Nutritional or Health Strategy/ Guidelines/Policy/Action plan
Year(s):2015-2035
Target age group:Adults and children
Linked document:Download linked document
References:Information provided with kind permission of WHO Global database on the Implementation of Nutrition Action (GINA): https://extranet.who.int/nutrition/gina/en/node/39438 (last accessed 04.08.22) Please note the GINA website has been replaced by the GIFNA database and the GINA link will no longer work. You will find this document by searching this new database: https://gifna.who.int/

GNPR 2016-17 (q7) Breastfeeeding promotion and/or counselling

WHO Global Nutrition Policy Review 2016-2017 reported the evidence of breastfeeding promotion and/or counselling (q7)

Categories:Evidence of Breastfeeding promotion or related activity
Target age group:Adults
Organisation:Ministry of Health (information provided by the GINA progam)
Find out more:extranet.who.int
References:Information provided with kind permission of WHO Global database on the Implementation of Nutrition Action (GINA): https://extranet.who.int/nutrition/gina/en Please note the GINA website has been replaced by the GIFNA database and the GINA link will no longer work. You will find this document by searching this new database: https://gifna.who.int/

Marketing of Breast-Milk Substitutes: National Implementation of the International Code Status Report 2016 (Promotion of Breastfeeding)

The 2016 report provides information on the status of implementing the International Code of Marketing of Breast-milk Substitutes and subsequent relevant World Health Assembly resolutions (“the Code”) in and by countries. The report also identifies in which countries they actively promote the benefits of breastfeeding.

Categories:Evidence of Breastfeeding promotion or related activity
Target age group:Adults
Organisation:WHO UNICEF IBFAN
References:WHO. UNICEF. IBFAN. Marketing of Breast-milk Substitutes: National Implementation of the International Code. Status Report 2016. Geneva: World Health Organization; 2016

No actions could be found for the above criteria.

Contextual factors

Disclaimer: These contextual factors should be interpreted with care. Results are updated as regularly as possible and use very specific criteria. The criteria used and full definitions are available for download at the bottom of this page.

Tap on a tick to find out more about policies influencing this factor.

Labelling

Is there mandatory nutrition labelling?Absent
Front-of-package labelling?Absent
Back-of-pack nutrition declaration?Absent
Color coding?Absent
Warning label?Absent

Regulation and marketing

Are there fiscal policies on unhealthy products?Present
Tax on unhealthy foods?Absent
Tax on unhealthy drinks?Present
Are there fiscal policies on healthy products?Absent
Subsidy on fruits?Absent
Subsidy on vegetables?Absent
Subsidy on other healthy products?Absent
Mandatory limit or ban of trans fat (all settings)?Absent
Mandatory limit of trans fats in place (all settings)? Absent
Ban on trans-fats or phos in place (all settings)? Absent
Are there any mandatory policies/marketing restrictions on the promotion of unhealthy food/drinks to children?Absent
Mandatory restriction on broadcast media?Absent
Mandatory restriction on non-broadcast media?Absent
Voluntary policies/marketing restrictions on the promotion of unhealthy food/drinks to children?Absent
Are there mandatory standards for food in schools?Absent
Are there any mandatory nutrient limits in any manufactured food products?Absent
Nutrition standards for public sector procurement?Absent

Political will and support

National obesity strategy or nutrition and physical activity national strategy?Absent
National obesity strategy?Absent
National childhood obesity strategy?Absent
Comprehensive nutrition strategy?Present
Comprehensive physical activity strategy?Absent
Evidence-based dietary guidelines and/or RDAs?Absent
National target(s) on reducing obesity?Present
Promotion of breastfeeding?Present

Monitoring and surveillance

Monitoring of the prevalence and incidence for the main obesity-related NCDs and risk factors?Present
Within 5 years?Absent

Governance and resource

Multi-sectoral national co-ordination mechanism for obesity or nutrition (including obesity)?Absent

Key

Present
Present (voluntary)
Incoming
Absent
Unknown

Last updated July 15, 2024

See more policies here

Download contextual factors as a PDF Contextual factors definitions

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